What you didn’t know about Performance Testing?

Many would not believe, but Performance testing indeed is important from the perspective of business development. However, performance testing is much more than checking the stability of the system during peak traffic.

According to experts, performance testing can be broadly divided into Proactive, Reactive, and Passive. It must be remembered that each has a distinct time, focus, audience, and purpose. Unfortunately, many testers are not aware of the time and the purpose of the same.

Here are the descriptions of various types of testing:

Proactive testing: It is not always possible to fix an issue during the development stages. It is intentional and deliberate and is an active way to identify performance-related issues. In an ideal situation, the problem needs to be identified at the beginning of the test. This not only eases off the burden from the shoulders of the testers. Moreover, capturing performance issues at the development stage is much cheaper and safer.

Reactive testing: It should be reasonably automated and should be carried out in as live-like an environment as possible. Reactive style of testing is a slightly defensive style of testing. Reactive testing is usually done in response to an event in the development of lifecycles, such as a build or a release. It should be reasonably automated in a life-like environment. This helps in synthetic testing before they are released for production. This also helps in regression testing before the product is rolled out in the market. Following this, the business can decide whether the regression is severe enough to delay rolling out in the market. Reactive testing carries partial organizational visibility. In fact, both developers and product people could be aware of and responsible for reactive testing.

Passive testing: Things can go haywire even after two rounds of testing. However, once the system is launched, you can sit back and observe the behavior of the machine. The behavior may change due to a change in geographical location or the change in the business metrics. For this, real user monitoring is required. Issues that have been detected at this stage are difficult to be fixed since the configurations have to be changed. This, apart from the fact that this will take longer to fix since data has to be gathered and assessed.

Top performance testing tools

Here are some of the mainstream requirements for performance testing:

  • Capacity Testing
  • Load Testing
  • Spike Testing
  • Stress Testing
  • Soak Testing
  • Volume Testing

Some of the most popular performance testing tools that are being widely used by testers across the world include:

  • HP LoadRunner
  • Apache JMeter
  • Web Load
  • Load storm
  • LoadView
  • Appvance
  • Loadster
  • CloudTest
  • OpenSTA
  • WAPT
  • NeoLoad

The process of performance testing

Performance testing is tedious and irrevocable if it doe incorrectly. Here are seven steps to ensure that the process is in sync with industry requirements. They are as follows:

  1. A requirement study is done, followed by analyzing test goals and objectives. A testing scope is determined, along with a test initiation checklist.
  2. Identifying the logical and physical production architecture for performance testing, identifying the software, hardware, and network configurations required to initiate the performance testing form an integral part of the second step.
  3. The desired performance characteristics of the application like response time, throughput, and resource utilization must be identified.
  4. Some other key factors that need to be identified include the key usage scenarios, determining appropriate variability across users, generating test data, and specifying the metrics to be collected. Finally, these provide the foundation for workload profiles.
  5. The designed tests must be prepared before the test is executed. The conceptual strategy, available tools and the design tests must be prepared.
  6. A performance test must be created according to the test planning and design.
  7. The tests are then run and monitored. Following this, the test data is validated.
  8. The results are then consolidated and the data is shared. Remaining of the tests must be reprioritized and re-executed. When all the values are in sync and the test runs successfully, the process is complete. It is time to collect the desired information.
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